OBJECTIVE：To preliminarily study the antitumor mechanism of Periplaneta americana extract C Ⅱ-3 on MFC tumor-bearing mice. METHODS ：Balb/c mice were randomly divided into model group （normal saline 20 mL/kg）and C Ⅱ-3 group （200 mg/kg），with 6 mice in each group. MFC cell suspension （0.2 mL）was injected under the right armpit of mice. On the next day，mice were given relevant medicine intragastrically ，once a day ，for consecutive 10 d. 24 h after the last administration ，Based on the measurement of tumor size ， 1H-NMR technology combined with unsupervised PCA ，supervised PLS-DA and OPLS-DA were used to compare metabolic spectrum of liver tissue from tumor-bearing mice of 2 groups，to analyze differential metabolites and to explore the potential antitumor mechanis m of C Ⅱ -3. RESULTS ：Compared with model group ，the tumor body was significantly reduced in tumor-bearing mice of C Ⅱ-3 group. There were differences in 1H-NMR spectra between the 2 No.81960712）； groups. According to unsupervised PCA ，supervised PLS-DA and OPLS-DA ，totally six potential differential metabolites ，as glycogen （increased），pyruvate （decreased），arginine （de- creased），hydroxyproline （increased），inosine （increased） and niacinamide （increased），were identified in the liver tissue，which were mainly attributed to the metabolism of arginine ，energy and nucleic acid. CONCLUSIONS：The anti tumor effect of C Ⅱ-3 may be related to the regulation of arginine metabolism ，energy metabolism and nucleic acid metabolism.

AIM:To identify transcriptional differences between the ocular surface ectoderm(OSE)and surface ectoderm(SE)using RNA-seq, and elucidate the OSE transcriptome landscape and the regulatory networks involved in its development.METHODS:OSE and SE cells were differentiated from human embryonic stem(hES)cells. Differentially expressed genes(DEGs)between OSE and SE were analyzed using RNA-seq. Based on the DEGs, we performed gene ontology(GO)analysis, Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis, and protein-protein interaction(PPI)network analysis. Transcription factors(TFs)and hub genes were screened. Subsequently, TF-gene and TF-miRNA regulatory networks were constructed using the NetworkAnalyst platform.RESULTS:A total of 4 182 DEGs were detected between OSE and SE cells, with 2 771 up-regulated and 1 411 down-regulated genes in OSE cells. GO-BP analysis revealed that up-regulated genes in OSE were enriched in the regulation of ion transmembrane transport, axon development, and modulation of chemical synaptic transmission. Down-regulated genes were primarily involved in nuclear division, chromosome segregation, and regulation of cell cycle phase transition. KEGG analysis indicated that up-regulated genes in OSE cells were enriched in signaling pathways such as cocaine addiction, axon guidance, and amphetamine addiction, while down-regulated genes were enriched in proteoglycans in cancer, ECM-receptor interaction, protein digestion and absorption, and cytokine-cytokine receptor interaction. Additionally, compared with SE, 204 TFs(including FOS, EGR1, POU5F1, SOX2, and PAX6)were up-regulated, and 80 TFs(including HAND2, HOXB6, HOXB5, HOXA5, and HOXB8)were down-regulated in OSE cells. Furthermore, we identified 6 up-regulated and 9 down-regulated hub genes in OSE cells, and constructed TF-gene and TF-miRNA regulatory networks based on these hub genes.CONCLUSIONS:The transcriptome characteristics of OSE and SE cells were elucidated through RNA-seq analysis. These findings may provide a novel insight for studies on the development and in vitro directed induction of OSE and corneal epithelial cells.